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Towards Harnessing Relay Mobility in MANETs Rohit Naini, Pierre Moulin - University of Illinois, Urbana-Champaign. Introduction. Relay Channel as part of a MANET. Mutually Interfering Relay Channels.

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Towards Harnessing Relay Mobility in MANETs

Rohit Naini, Pierre Moulin - University of Illinois, Urbana-Champaign

Introduction

Relay Channel as part of a MANET

Mutually Interfering Relay Channels

  • The relay channel with single interferer though a good starting point , yields simplistic solutions.
  • An actual Adhoc Network could potentially have several interfering transmissions.

Locations Should be Jointly Optimized

Relay

Relay

Sensors

(Accelerometers)

Processing

Module

Mobile Relays

  • Sensors measure
  • user activity
  • Convert activities
  • to calories burnt

Source

Destination

Source

Compress and Forward rate vs Relay Position

Calculations Log on PDA

  • Mobility should be viewed as a resource in an Adhoc Network
  • Exploring the potential held by mobility in a Relay Channel can provide valuable insights for larger networks

optimal

location

Source

Destination

Destination

  • This problem introduces aspects such as inter-nodal cooperation in different parts of the network.
  • The joint-mobility of several nodes entitles a multiple objectives game-theoretic approach.
  • Solving this problem would give valuable insight into interaction between coexistent non-cooperating network blocks

Source

Relay Position- Angular

Relay Position radial

Destination

  • The transmissions from rest of the network are assumed to be from unknown Gaussian codebooks
  • Correlation between noises at Relay and Destination are computed based on Relay position with respect to the position of interfering nodes.
  • The throughputs of the three relay schemes are evaluated by varying the relay location

Interferer Locations –

(0.7,45),(0.7,72),(0.7,135)

Relay Channel with Single Interferer

  • Relay Channel capacity is unknown but surrogate performance metrics can be used:
    • Cut-set Bound
    • Decode-Forward Rate
    • Compress Forward Rate
  • A Gaussian Channel model is employed with a corrected quadratic path loss
  • External Interferer emits Gaussian signal with an unknown codebook
  • Subject to mobility restrictions, optimal relay location/scheme can be chosen

Conclusion and Future Directions

Simulation Analysis and Discussion

  • Interference management holds the key to improving Adhoc Network performance
  • Mobility can be used to minimize the malicious impact of interference between the different parts of the network
  • The usually sub-optimal Compress-Forward scheme proves helpful in a system marred with a high degree of interference
  • Future Directions
  • Understand the role of mobility in other adhoc network blocks.
  • Devise mobility strategies for cooperative multi-hop relaying
  • The optimal relay locations vary significantly based on the scheme being used
  • For a Decode-Forward scheme, it is optimal for the relay to relocate itself away from the Interfering nodes
  • For a Compress-Forward scheme, relay should relocate itself to a point with higher interference reception and good correlation to Destination’s Noise
  • Compress-Forward scheme exploits the noise correlation to allow cooperation between the Relay and Destination
  • Compress-Forward is well suited when there is a relatively close interfering node with high power

Node Polar Co-ords

Source (0,0)

Destination (1,0)

Interferer (0.5,45)

Compress-Fwd

Cut Set Bound

Decode-Fwd